{"id":"https://openalex.org/W4390938819","doi":"https://doi.org/10.1109/tii.2023.3348823","title":"Multi-Agent Reinforcement Learning With Privacy Preservation for Continuous Double Auction-Based P2P Energy Trading","display_name":"Multi-Agent Reinforcement Learning With Privacy Preservation for Continuous Double Auction-Based P2P Energy Trading","publication_year":2024,"publication_date":"2024-01-17","ids":{"openalex":"https://openalex.org/W4390938819","doi":"https://doi.org/10.1109/tii.2023.3348823"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3348823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3348823","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089279497","display_name":"Jiehui Zheng","orcid":"https://orcid.org/0000-0003-4928-6524"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiehui Zheng","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4928-6524","affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050483656","display_name":"Ze-Ting Liang","orcid":"https://orcid.org/0000-0003-3775-3869"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze-Ting Liang","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3775-3869","affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010845083","display_name":"Yuanzheng Li","orcid":"https://orcid.org/0000-0001-8052-1233"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzheng Li","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Key Laboratory of lmage Information Processing and Intelligent, Control of Ministry of Education of China, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8052-1233","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Key Laboratory of lmage Information Processing and Intelligent, Control of Ministry of Education of China, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363813","display_name":"Zhigang Li","orcid":"https://orcid.org/0000-0003-0464-8800"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Li","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0464-8800","affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016939864","display_name":"Qinghua Wu","orcid":"https://orcid.org/0000-0002-0598-8367"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Hua Wu","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0598-8367","affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089279497"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":17.0245,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.99582023,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":"4","first_page":"6582","last_page":"6590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.885265052318573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7259923219680786},{"id":"https://openalex.org/keywords/double-auction","display_name":"Double auction","score":0.4854012429714203},{"id":"https://openalex.org/keywords/dynamic-pricing","display_name":"Dynamic pricing","score":0.41971951723098755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32826170325279236},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.19136661291122437},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.17213565111160278},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10610350966453552}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.885265052318573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259923219680786},{"id":"https://openalex.org/C2539976","wikidata":"https://www.wikidata.org/wiki/Q12163285","display_name":"Double auction","level":3,"score":0.4854012429714203},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.41971951723098755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32826170325279236},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.19136661291122437},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.17213565111160278},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10610350966453552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3348823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3348823","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5299999713897705,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G8947311782","display_name":null,"funder_award_id":"52007066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1483735435","https://openalex.org/W2018567859","https://openalex.org/W2052719642","https://openalex.org/W2277615321","https://openalex.org/W2768629321","https://openalex.org/W2785315072","https://openalex.org/W2786291477","https://openalex.org/W2787938642","https://openalex.org/W2791029640","https://openalex.org/W2801383047","https://openalex.org/W2885731420","https://openalex.org/W2890184754","https://openalex.org/W2890455266","https://openalex.org/W2914561504","https://openalex.org/W2962991497","https://openalex.org/W2963597321","https://openalex.org/W2965954699","https://openalex.org/W3103929298","https://openalex.org/W3106649810","https://openalex.org/W3155557419","https://openalex.org/W3156714352","https://openalex.org/W3191550197","https://openalex.org/W3193603386","https://openalex.org/W3209381781","https://openalex.org/W4313048769","https://openalex.org/W6604948569","https://openalex.org/W6628854460","https://openalex.org/W6682205418","https://openalex.org/W6747941106","https://openalex.org/W6748839928"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2358668433","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2948891973"],"abstract_inverted_index":{"With":[0],"increasing":[1],"deployment":[2],"of":[3,27,85,175],"distributed":[4],"energy":[5,8,40,62,158,206],"resources,":[6],"the":[7,21,66,81,89,104,112,117,130,142,146,150,156,162,171,191],"market":[9,91],"which":[10,208],"aims":[11],"for":[12,51,99],"local":[13,83,107],"generation":[14],"and":[15,68,109,173,203,213],"load":[16],"profile":[17],"redistribution":[18],"is":[19,97],"facing":[20],"challenge":[22],"to":[23,79,102,122,128,197],"accommodate":[24],"various":[25],"types":[26],"participants.":[28],"To":[29,64,169],"realize":[30],"social":[31],"welfare":[32],"maximization":[33],"with":[34,155],"privacy":[35,69],"preserving":[36],"in":[37,55,116,141,165],"a":[38,45,135,184],"dynamic":[39,118,136],"market,":[41],"this":[42],"article":[43],"propose":[44,134],"multiagent":[46,73],"reinforcement":[47],"learning":[48,131],"(MARL)":[49],"method":[50,194],"quotation":[52],"decision":[53],"optimization":[54],"continuous":[56],"double":[57],"auction":[58],"(CDA)-based":[59],"peer-to-peer":[60],"(P2P)":[61],"market.":[63,120],"address":[65],"nonstationarity":[67],"violation":[70],"brought":[71],"by":[72],"context,":[74],"we":[75,133],"utilize":[76],"mean-field":[77],"approximation":[78],"abstract":[80,94],"unauthorized":[82],"information":[84],"other":[86],"agents":[87,151],"from":[88],"public":[90,113],"dynamics.":[92],"An":[93],"Q-value":[95],"function":[96],"developed":[98],"each":[100,166],"agent":[101],"infer":[103],"neighbor":[105],"agents'":[106],"observation":[108],"action":[110],"through":[111],"clearing":[114],"results":[115,188],"CDA":[119],"Moreover,":[121],"avoid":[123],"sparse":[124],"reward":[125,138,163,202],"so":[126],"as":[127,161],"stabilize":[129],"process,":[132],"potential-based":[137],"shaping":[139,164],"term":[140],"reward.":[143],"Without":[144],"altering":[145],"learnt":[147],"optimal":[148],"policies,":[149],"can":[152],"be":[153],"informed":[154],"additional":[157],"storage":[159],"state":[160],"time":[167],"instants.":[168],"validate":[170],"effectiveness":[172],"economy":[174],"our":[176],"proposed":[177,192],"method,":[178],"simulation":[179],"studies":[180],"are":[181],"conducted":[182],"on":[183],"real-world":[185],"dataset.":[186],"Simulation":[187],"show":[189],"that":[190],"MARL":[193],"produces":[195],"up":[196],"17%":[198],"more":[199],"convergent":[200],"episodic":[201],"67%":[204],"less":[205],"bills":[207],"indicates":[209],"competitive":[210],"convergence":[211],"performance":[212],"significant":[214],"economic":[215],"benefits.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":59},{"year":2024,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
